Fullstack Engineer, Neurolabs

Product Team

£60-90k

Equivalent of up to £15,000 per year in share options

Docker
Kubernetes
TypeScript
Python
Senior and Expert level
Remote in EU, UK
London

More information about location

Neurolabs

Business processes automation software

Otta Certified

Job no longer available

Neurolabs

Business processes automation software

1-20 employees

B2BArtificial IntelligenceComputer VisionMachine LearningAutomation

Otta Certified

Job no longer available

£60-90k

Equivalent of up to £15,000 per year in share options

Docker
Kubernetes
TypeScript
Python
Senior and Expert level
Remote in EU, UK
London

More information about location

1-20 employees

B2BArtificial IntelligenceComputer VisionMachine LearningAutomation

Company mission

Neurolabs' mission is to democratise computer vision.

Role

Who you are

  • Be passionate about delivering quality software products targeted at fellow software developers.
  • Writing & maintaining distributed systems that communicate via GraphQL / REST / gRPC consisting of multiple React, FastAPI, PostgreSQL and RabbitMQ services.
  • You are able to work alone, have a strong will power and have the grit to go through the valley of tears to get something done

What the job involves

  • Build our web interface and customer facing APIs, as part of the Product team, using Python, Docker, Typescript.
  • Collaborate with our team of machine learning engineers, 3D artists and computer graphics engineers to build out new features and improve existing ones.
  • >80% of your time will be spend implementing core backend services for exposing machine learning algorithms

Salary benchmarks

Otta's take

Sam Franklin headshot

Sam Franklin

CEO of Otta

Neurolabs is a Computer Vision (CV) platform allowing users to build custom image recognition algorithms using 3D models. It substitutes the expensive and rare real-world data required to train CV algorithms with synthetically generated data to provide massive, rich and diverse low-cost data sets at a fraction of the cost and time.

Synthetic Data combines advanced machine learning techniques and CGI models to create large sets of perfectly labelled data that is optimised for CV. The company’s proprietary CV technology enables rapid state-of-the-art development of object recognition solutions across multiple use cases and industries, accelerating the automation of repetitive visual tasks.

Its technology empowers both small and large customers to implement CV applications with minimal resources and costs — no coding required, no tedious data labelling, and no image gathering. Its partners use the technology to automate generic object recognition tasks in industries ranging from hospitality to retail and manufacturing.

Although ‘automation’ is a term that is often associated with job losses, Neurolabs’ vision is to enhance the capabilities of workers, not replace them outright, and with its recent seed funding it will soon be well on its way to achieving this.

Insights

Most candidates hear
back within 2 weeks

Company

Employee endorsements

Challenging work

"The projects which are developed in Neurolabs are focused heavily on current research methods, therefore the development is fast-paced and..."

Funding (last 2 of 4 rounds)

May 2022

$3.6m

SEED

Jul 2020

$1.1m

SEED

Total funding: $4.9m

Company benefits

  • Equity options
  • Flexible working hours from home or our offices in Edinburgh or London
  • 34 days annual leave (incl. public holidays in your residence country)
  • Bi-annual company retreat and bi-annual team meetings (workation)
  • Private medical insurance, including mental health, dental, opticians cover, and business as well as personal travel insurance. 🇬🇧
  • Cycle to Work Scheme 🇬🇧

Company values

  • We're purposeful → We're driven towards something that motivates us intrinsically
  • We're authentic → We are strongly against 'rule'-based, pretend behaviour. We will always work to make Neurolabs a place where all of us can be our real selves
  • We're reliable → Getting things done and taking responsibility for your work is critical
  • We're respectful → We all come from diverse backgrounds and therefore must work to understand, appreciate and celebrate our differences
  • We're a community → We are supportive, kind and generous to each other

Company HQ

Holborn, London, UK

Founders

Previously Computer Vision Lead at Hudl and software engineer at Schlumberger.

Former market risk analyst at Bank of America & has a Master of Science in AI.

Previous Technology Analyst at J.P. Morgan before obtaining a PhD in Machine Learning from the University of Edinburgh.

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